Senior Software Engineer, Data Platform London, UK Apply →

Scale AI, Inc.; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Scale AI, Inc. is seeking an experienced Platform Engineer to lead the design and development of core data storage, streaming, caching, and indexing platforms.

You will shape foundational systems and work across Scale to support world-class RLHF, data generation, model evaluation, safety and alignment initiatives. You will collaborate with cross-functional teams to refine requirements, implement new features, and drive engineering best practices while mentoring others in scalable data

Qualifications

• 5+ years of full-time engineering experience with back-end data platforms.
• Experience building large-scale data storage, streaming, and warehousing systems.
• Proven track record mentoring and leading teams on complex projects.
• Excellent communication skills and ability to translate technical concepts to non-technical stakeholders.
• Experience with Kubernetes and public cloud deployments.
• Deep understanding of distributed systems and data platforms.

Responsibilities

• Drive design, implementation, and reliability of foundational data platforms and systems.
• Collaborate with cross-functional teams to define and deliver new features.
• Identify and implement improvements to development processes and tools.
• Present technical information to stakeholders and provide guidance on development approaches.

Skills

Back-end systems

Distributed data storage

Streaming/warehousing

Database tech (MongoDB, Postgres)

Kubernetes & cloud

Communication & mentoring

Tools

Kinesis

Flink

Spark

ElasticSearch

Redis

Trino/Presto/Snowflake

Job description

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition.

At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.

Responsibilities

• Drive the design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements.
• Collaborating with cross-functional teams to define, design, and deliver new features.
• Proactively identifying opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades.
• Presenting technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Qualifications

• 5+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems.
• Experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.).
• Show a track record of mentoring and leading teams in successful projects.
• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
• Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings.
• Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems.

Nice to Haves

• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).
• Experience scaling products at hyper-growth startups.
• Excitement to work with AI technologies.

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [e-mail]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

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